The shortcomings in commonly used kernel-based super-resolution drive the study of
improved super-resolution algorithms of higher quality. In the past years a wide range of …

Compression is an important field of digital image processing where well-engineered
methods with high performance exist. Partial differential equations (PDEs), however, have …

Galić et al.(Journal of Mathematical Imaging and Vision 31: 255–269, 2008) have shown
that compression based on edge-enhancing anisotropic diffusion (EED) can outperform the …

Super‐resolution (SR) task has become an important research area due to the rapidly
growing interest for high quality images in various computer vision and pattern recognition …

We introduce and discuss shape-based models for finding the best interpolation data when
reconstructing missing regions in images by means of solving the Laplace equation. The …

In view of that image interpolation methods generally tend to produce considerable edge
halos, blurring and aliasing artifacts for image super-resolution. A novel image …

5,875,268 A* 2/1999 Miyake...................... 382.276 5,883,476 A 3/1999 Noguchi et al.
5,929,918 A 7/1999 Marques Pereira et al. 5, 991463 A 11/1999 Greggain et al. 5, 991464 A …

This paper addresses the problem of generating a super-resolved version of a low-
resolution textual image by using Sparse Coding (SC) which suggests that image patches …

This paper addresses the problem of generating a super-resolved text image from a single
low-resolution image. The proposed Super-Resolution (SR) method is based on sparse …

Abstract Finger-knuckle-print (FKP) pattern has been utilized in biometric recognition
systems. This paper proposes a new FKP region of interest (ROI) extraction method based …